Federated Learning on CIFAR-10 standard
101Rounds (Acc 20%)FEDADAVR
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FEDADAVR2026.01 | 101 | 1 | 209 | 1 | 296 | 1 | 421 | 1 | 661 | 1 | 918 | 1 | |
| FEDVARP2026.01 | 116 | 1.1 | 204 | 1 | 427 | 1.4 | 566 | 1.3 | 878 | 1.3 | 1,385 | 1.5 | |
| FEDADAVR-QUANTquantization=true2026.01 | 189 | 1.9 | 284 | 1.4 | 343 | 1.2 | 554 | 1.3 | 803 | 1.2 | 1,118 | 1.2 | |
| FEDAVG2026.01 | 335 | 3.3 | 488 | 2.3 | 619 | 2.1 | 823 | 2 | 1,324 | 2 | 1,396 | 1.5 | |
| FEDPROX2026.01 | 338 | 3.3 | 484 | 2.3 | 726 | 2.5 | 921 | 2.2 | 1,193 | 1.8 | — | — | |
| FEDNOVA2026.01 | 338 | 3.3 | 612 | 2.9 | 734 | 2.5 | 1,082 | 2.6 | 1,352 | 2 | 1,491 | 1.6 | |
| FEDADAGRAD2026.01 | 355 | 3.5 | 646 | 3.1 | 988 | 3.3 | 1,368 | 3.2 | — | — | — | — | |
| MIFA2026.01 | 444 | 4.4 | 596 | 2.9 | 1,012 | 3.4 | — | — | — | — | — | — | |
| FEDYOGI2026.01 | 478 | 4.7 | 727 | 3.5 | 1,066 | 3.6 | 1,483 | 3.5 | — | — | — | — |